Senior Level AI Architect Jobs
Senior level ai architect jobs place experienced professionals in charge of enterprise AI strategy, platform architecture, and the cross-functional teams that build and deploy production systems at scale. Roles are concentrated across Technology & Software, Consulting & Professional Services, and Electronics & Hardware, with a mix of on-site, remote, and hybrid settings, and employers like Boston Consulting, Gusto, and NVIDIA hiring at this level now.
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Arm is transforming how semiconductor products are composed, verified, tested, qualified, manufactured, and delivered. Our company is seeking a Fellow – AI Systems Architect for Product Operations to define the next generation of engineering and business operations. You will lead these operations, guided by artificial intelligence across the semiconductor lifecycle.
This highly transparent technical leadership role will develop and implement large-scale autonomous AI systems spanning pre-silicon build, verification, Product & Test Engineering (PETE), Quality, Reliability, Product Operations, and Supply Chain Management. The successful candidate will drive the development of autonomous engineering workflows that accelerate product development, improve quality, increase operational efficiency, and gain institutional knowledge at scale.
The ideal candidate combines deep semiconductor expertise with hands-on experience building and deploying production grade Multi Agentic AI systems capable of transforming complex engineering workflows.
Responsibilities
- Define and execute ARM’s long-term vision and strategy for Agentic AI across engineering and product operations.
- Architect and deploy enterprise-scale Multi Agentic AI platforms applying LLMs, SLMs, RAG, Knowledge Graphs, MCP frameworks, and modern agent orchestration technologies.
- Drive AI-enabled transformation across the complete semiconductor lifecycle, including:
- Architecture & Design
- Functional Verification & Emulation
- DFT & Test Content Development
- Product & Test Engineering
- ATE Program Development
- Yield Learning & Diagnosis
- Reliability & Quality Engineering
- Failure Analysis
- Product Operations
- Supply Chain Management
- Identify and prioritize high-impact AI automation opportunities that deliver measurable improvements in productivity, quality, cycle time, and operational efficiency.
- Establish enterprise AI governance, security, deployment, and adoption guidelines.
- Collaborate across engineering, operations, IT, and executive leadership teams to drive company-wide AI initiatives.
- Mentor engineers and technical leaders while fostering a culture of innovation and AI excellence.
- Represent ARM externally through industry conferences, publications, patents, and strategic partnerships.
Required Skills and Experience
- Master's or Ph.D. in fields such as Computer Engineering, Electrical Engineering, Computer Science, Artificial Intelligence, Machine Learning, or a related technical area.
- Minimum 20 years of semiconductor proven experience.
- Hands-on experience developing and deploying Multi-Agent AI systems in production environments.
- Proven technical leadership across multiple areas including:
- Semiconductor Design & Verification
- Design-for-Test (DFT)
- Silicon Validation
- Product & Test Engineering
- Yield Engineering
- Quality & Reliability Engineering
- Failure Analysis
- Manufacturing & New Product Introduction (NPI)
- Strong expertise in:
- Agentic AI Architectures
- Generative AI
- Large Language Models (LLMs)
- Small Language Models (SLMs)
- Retrieval-Augmented Generation (RAG)
- Knowledge Graphs
- Machine Learning & Deep Learning
- AI Workflow Orchestration Frameworks
- Experience building enterprise automation platforms and integrating with engineering, manufacturing, and business systems.
- Outstanding communication, technical leadership, and collaborator management skills.
Preferred Qualifications
- Ph.D. in Computer Engineering, Electrical Engineering, Computer Science, Artificial Intelligence, or related field, or an equivalent level of experience.
- Three or more sophisticated AI/ML certifications in areas such as:
- Agentic AI
- Generative AI
- Machine Learning
- Deep Learning
- RAG Systems
- Knowledge Graphs
- AI Engineering
- Experience building AI-enabled automation solutions for semiconductor design, verification, DFT, product engineering, quality, or manufacturing workflows.
- Experience with LangGraph, LangChain, AutoGen, CrewAI, MCP, or similar multi-agent frameworks.
- Experience integrating AI systems with EDA tools and engineering data ecosystems.
- Experience in one or more pre-silicon fields including RTL Build, Functional Verification, Emulation, FPGA Prototyping, Physical Compose, Timing Closure, Low-Power Develop, or SoC Integration.
- Publications, patents, or invention disclosures in AI, coordinated circuit development, validation, test, quality, reliability, or manufacturing.
- Demonstrated success leading enterprise-wide technology transformation initiatives.
- Experience deploying secure on-premise AI platforms for engineering applications.
Salary Range:
$308,600-$417,500 per year
We value people as individuals and our dedication is to reward people competitively and equitably for the work they do and the skills and experience they bring to Arm. Salary is only one component of Arm's offering. The total reward package will be shared with candidates during the recruitment and selection process.
Accommodations at Arm
At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.
Hybrid Working at Arm
Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.
Equal Opportunities at Arm
Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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Senior Level AI Architect Jobs: Frequently Asked Questions
How do I get a senior level ai architect job?
Employers hiring at this level look for candidates who have led end-to-end AI system design, not just contributed to one. Demonstrating ownership of architecture decisions, a history of shipping production-grade models, and experience mentoring engineers or guiding technical direction sets strong candidates apart. Presenting case studies where your choices measurably improved performance, scalability, or cost puts your application ahead of peers with similar titles.
Which companies hire senior level ai architects?
Companies hiring senior level ai architects right now include Boston Consulting, Gusto, and NVIDIA, based on current listings on Migrate Mate as of July 2026. Hiring at this level tends to come from large technology firms, financial services organizations, healthcare systems, and consulting practices that are scaling their AI infrastructure or standing up dedicated AI centers of excellence.
Are there remote senior level ai architect jobs?
Yes, though availability varies by employer and industry. About 40% of senior level ai architect openings are remote or hybrid as of July 2026, reflecting strong demand for experienced architects who can lead distributed teams. Fully on-site roles remain common in regulated industries and for positions that require close collaboration with infrastructure or hardware teams.
What makes an ai architect role senior level?
Senior level ai architect roles are defined by scope and ownership rather than task execution. Candidates are expected to set architectural direction for AI platforms, evaluate and select foundational technologies, and take accountability for system performance in production. Mentoring junior engineers, influencing cross-team roadmaps, and driving alignment between business stakeholders and technical teams are standard expectations at this stage.
Which industries hire the most senior level ai architects?
Senior level ai architect roles concentrate in Technology & Software, Consulting & Professional Services, and Electronics & Hardware, based on current listings on Migrate Mate as of July 2026. These sectors drive the highest demand because they are building or modernizing large-scale AI infrastructure, require deep expertise to govern model risk and compliance, and compete for a limited pool of professionals with proven architecture leadership experience.